Static Postural Assessment System with Image Processing

Abstract

A good body posture means that there is a myofascial balance between the different myofascial chains, which allows activities to be carried out with greater efficiency, in addition to avoiding alterations in the human body. In the university students case, that perform constant and repetitive activities, such as remaining in a state of prolonged sitting, which together with other factors cause the development of dysfunctional postural patterns. A Static Postural Evaluation System was created capable of measure diameters and lengths of segments, angles and detect the affected myofascial chain. The objective of this system is to help the doctor in the evaluation, determine the chain of injury and record the identified postural disorder in the clinical file. The processing is done in real time, with the images obtained from the patient in a standing position from a biplanar evaluation. The analysis is quantitative and it is performed using an algorithm that detects bone identifiers through binary image processing. It was observed that the chain of injury that prevails in university students was that of inspiration and opening. This assessment tool allows the doctor to make a precise and quick postural diagnosis in order to be able to follow up accordingly, and thus provide preventive and/or corrective treatment to avoid degenerative diseases.